Practical notes from the engineers who build agents, copilots and AI products.
An AI MVP development RFP should include a measurable business outcome, a scoped feature list with explicit exclusions, named source systems, accuracy and latency thresholds, an evaluation set, security and residency terms, IP ownership and a fixed price with written change control.
Six weeks, fixed, for a scoped AI MVP with one user journey and one model-powered step. Add ten days of discovery if the journey is not chosen, three weeks if a technical risk needs proving, and two to four weeks of shadow mode if the system takes actions rather than drafting them.
The hidden costs of AI MVP development are the ones that begin after the build: inference and embedding bills, evaluation maintenance, integration work inside your systems, your own team's labelling and review time, and the care plan. Budget them line by line before you sign.
A production AI agent costs roughly $12,500–85,000 (₹8–56 lakh) to build in 2026, plus a monthly running cost. The price is driven by workflow complexity, tool integrations, autonomy level and evaluation depth, not by the model.
AI MVP development in India costs ₹17,60,000 to ₹30,40,000, or $26,500 to $45,500, at Eazyware's published fixed prices. A six-week Launch 6 build sits near the lower end; scopes needing eight to sixteen weeks sit higher. A ten-day discovery sprint beforehand is ₹2,00,000 and is credited to the build.
Buy when the workflow is generic and your data is not the advantage. Build when the workflow is the product, the data is yours, or the integration runs deeper than a platform allows. Most AI MVPs are neither: you buy the components and build only the thin layer that is genuinely yours.
The ROI of a multi-agent system is the annual value of the work it absorbs minus what it costs to run, set against a build of $24,500 to $84,000. The arithmetic only works on processes with genuine volume, and most business cases fail on that test rather than on technology.
Multi-agent system development costs $24,500 to $84,000, or ₹16,00,000 to ₹56,00,000, for a build at Eazyware, plus model and infrastructure usage paid through your own accounts. Scope drives the number, and the count of systems each agent must touch drives it more than the count of agents.
A multi-agent system development RFP should specify the workflow, the integration list, the acceptance thresholds and the ownership terms, and should not specify the framework. Get those four right and competing bids become comparable on the same scope instead of on how optimistic each vendor felt.